🧩 Unit I – Language Processing and Python
This unit introduces the foundations of computational linguistics using Python. You’ll learn how to process and analyze textual data programmatically.
Topics Covered:
- Computing with Language: Texts and Words
- Python for NLP: Texts as Lists of Words
- Simple Statistics with Language Data
- Making Decisions in Python: Conditional statements and control structures
- Automatic Natural Language Understanding
Accessing Text and Lexical Resources:
- Accessing Text Corpora
- Conditional Frequency Distributions
- Lexical Resources and WordNet
🧠 Unit II – Text Processing and Word Categorization
This unit focuses on text preprocessing — the first and most essential step in NLP workflows.
Topics Covered:
- Accessing Text from the Web or Disk
- Text Processing with Unicode
- Regular Expressions: Detecting and tokenizing patterns
- Normalization and Segmentation
- Formatting: From Lists to Strings
Categorizing and Tagging Words:
- Using a Tagger and Tagged Corpora
- Python Dictionaries for Mapping Word Properties
- Automatic Tagging, N-Gram Tagging, and Transformation-Based Tagging
- Determining Word Categories
🤖 Unit III – Text Classification and Deep Learning
Unit III introduces the power of Machine Learning and Deep Learning in NLP.
Topics Covered:
- Supervised Classification
- Evaluation Techniques
- Naive Bayes Classifiers
Deep Learning for NLP:
- Introduction to Deep Learning
- Convolutional Neural Networks (CNNs) for Text
- Recurrent Neural Networks (RNNs)
- Text Classification using Deep Learning
🔍 Unit IV – Information Extraction and Syntax Analysis
This unit teaches how to extract structured information from unstructured text and analyze sentence structure grammatically.
Extracting Information from Text:
- Information Extraction and Chunking
- Developing and Evaluating Chunkers
- Recursion in Linguistic Structure
- Named Entity Recognition (NER)
- Relation Extraction
Analyzing Sentence Structure:
- Grammatical Dilemmas and Use of Syntax
- Context-Free Grammar (CFG)
- Parsing with CFG
All the units are compiled in a single, easy-to-read PDF for your convenience. Perfect for revision and exam preparation!